FollowTheseApps - App Changelogs in Your RSS Feed

Hacker News

When we were developing our main project, ForkJoy (https://forkjoy.com) , I noticed that I had downloaded almost every food app in the AppStore. I ended up with 3 folders full of food apps just so I could keep up to date with what the other guys were doing. I never used them, I just wanted to see what changes they were making. Our team's developers had the same problem, so one of them did something about it and made a service that scraped the Android/iOS app stores and put the changelogs into an RSS feed that he subscribed to. We figured that other people would have the same problem, so we decided to release the product as a service. We're proud to introduce Follow These Apps (https://followtheseapps.com) . This service is useful for the following niches: - App development companies * Following competitors * Keeping track of internal app releases - Tech bloggers * Getting notified when popular apps (ex: Facebook or Twitter) put out new releases - App enthusiasts * Keeping track of their favourite apps * Being notified when certain apps are updated that are not available in their region I'd love to hear some feedback on the idea. Check it out at https://followtheseapps.com

Visit product View on Hacker NewsApr 17, 2013

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1points

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

97%97% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Strong signals: ios, apps · Missing: mobile apps, personal, entrepreneurs

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: apps, new · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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